Témoignage et histoire dans la Commission de vérité et de réconciliation du Canada
Bibliographic record
Abstract
Résumé La Commission de vérité et de réconciliation (CVR) du Canada relative aux pensionnats autochtones nous offre l’opportunité d’observer les processus par le biais desquels les victimes reconsidèrent leur place au sein de l’histoire de l’État. Les témoignages livrés dans ce contexte mettent en relief souffrance et souvenirs d’agression et de torture d’enfants, au détriment d’une vue d’ensemble plus complète et variée des origines, des modes d’opération et des conséquences de ces pensionnats. En favorisant l’articulation d’un certain type de témoignages, la CVR canadienne façonne autant de récits de traumatismes, de crimes institutionnels et d’histoire nationale. Cette forme d’essentialisation des témoignages nous amène à nous questionner sur les capacités de la CVR à dévoiler effectivement la diversité des dynamiques des pensionnats, les raisons de leur établissement, les causes de la corruption de leurs objectifs et les caractéristiques communes qu’ils pourraient avoir avec d’autres formes durables et continues d’abus de pouvoir institutionnel.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".